title: Use and implications of the harmonic mean model on mixtures for basic research and drug discovery.
abstract: The use of the harmonic mean model for predicting the activities of a given mixture and its constituents has not previously been explored in the context of combinatorial libraries and drug discovery. Herein, the analyses of historical data confirm the harmonic mean as an accurate predictor of mixture activity. The implications of these results are discussed.
authors.affiliation: Torrey Pines Institute for Molecular Studies , Port St. Lucie, Florida 34987, United States.
authors.forename: Radleigh G
authors.initials: RG
authors.lastname: Santos
authors.forename: Marc A
authors.initials: MA
authors.lastname: Giulianotti
authors.forename: Colette T
authors.initials: CT
authors.lastname: Dooley
authors.forename: Clemencia
authors.initials: C
authors.lastname: Pinilla
authors.forename: Jon R
authors.initials: JR
authors.lastname: Appel
authors.forename: Richard A
authors.initials: RA
authors.lastname: Houghten
mesh_terms: D045424:Complex Mixtures; D055808:Drug Discovery; D008956:Models, Chemical
chemical_list: D045424:Complex Mixtures